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一种适用于黄土斜坡地震稳定性快速评估的综合判别方法——以宁夏西吉县为例
引用本文:杨顺,常晁瑜,余思汗,王银,刘超. 一种适用于黄土斜坡地震稳定性快速评估的综合判别方法——以宁夏西吉县为例[J]. 地震工程学报, 2022, 44(1): 54-61
作者姓名:杨顺  常晁瑜  余思汗  王银  刘超
作者单位:宁夏回族自治区地震局;防灾科技学院;中国地震局工程力学研究所中国地震局地震工程与工程振动重点实验室
基金项目:宁夏自然科学基金项目(2021AAC03486);中国地震局地震应急青年重点任务(CEA_EDEM-2020)。
摘    要:选取宁夏西吉县为目标区,对区内1920年海原8.5级特大地震所诱发的347处黄土地震滑坡进行野外调查,获取了详实的基础数据.在此基础上结合遥感影像解译,总结了研究区内黄土地震滑坡的分布特征,并依此提出了宏观、定性的黄土斜坡地震稳定性快速判别方法.基于分布特征选取了坡高、坡角、坡向及地震动强度作为基本参数,应用MLP神经...

关 键 词:黄土斜坡  地震稳定性  分布特征  MLP神经网络  快速评估

A comprehensive method for rapid assessment ofseismic stability of loess slopes: a case studyof Xiji County in Ningxia
YANG Shun,CHANG Chaoyu,YU Sihan,WANG Yin,LIU Chao. A comprehensive method for rapid assessment ofseismic stability of loess slopes: a case studyof Xiji County in Ningxia[J]. China Earthguake Engineering Journal, 2022, 44(1): 54-61
Authors:YANG Shun  CHANG Chaoyu  YU Sihan  WANG Yin  LIU Chao
Affiliation:(Ningxia Earthquake Agency, Yinchuan 750001, Ningxia, China;Institute of Disaster Prevention, Sanhe 065201, Hebei, China;Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, CEA, Harbin 150080, Heilongjiang, China)
Abstract:In this paper,a detailed field investigation was carried out on 347 loess seismic landslides in Xiji County,Ningxia induced by the Haiyuan MS8.5 earthquake in 1920.Based on the detailed basic data and the interpretation of remote sensing images,the distribution characteristics of the loess seismic landslides in the study area were summarized.Then,a macroscopic and qualitative rapid discrimination method for the seismic stability of loess slopes was proposed.Based on the distribution characteristics,the slope height,slope angle,slope direction,and ground motion intensity were selected as basic parameters.A quantitative rapid discrimination model for the seismic stability of loess slopes was proposed by using the MLP neural network model.The comprehensive discrimination method proposed in this paper,which integrates the qualitative and quantitative fast judgment methods,is of great significance to the site selection before earthquake,as well as the rapid evaluation of seismic stability of loess slopes in the emergency rescue after earthquake.
Keywords:loess slope  seismic stability  distribution characteristics  MLP neural network  rapid assessment
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